📅 2023-08-07 — Session: Enhanced Python regex for text classification
🕒 16:20–16:35
🏷️ Labels: Python, Regular Expressions, Text Processing, Dataframe, Data Filtering
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance Python code using regular expressions to accurately classify and process text data, specifically focusing on extracting names and degrees from text lines.
Key Activities
- Developed a Python script to classify text lines into names and degrees using regular expressions, creating a structured DataFrame for analysis.
- Updated the regex pattern to exclude ‘TITULO’ and correctly handle ‘UBA’ as part of a degree.
- Utilized Pandas’
str.containsmethod to filter text entries containing ‘Dra.’ or ‘Dr.’. - Implemented regex filters to identify lines with uppercase letters, excluding common degree-related terms.
- Improved regex patterns for flexible classification of titles and names, considering special characters as ordinary letters.
Achievements
- Successfully refined regex patterns to improve text classification accuracy.
- Created a structured DataFrame for further analysis of classified text data.
Pending Tasks
- Further testing and validation of regex patterns on diverse text datasets to ensure robustness and accuracy.